在浙江龙泉和安吉试验点,对来源于10省(区)24个种源的南方红豆杉〔Taxus wallichiana var.mairei(Lemée et Lévl.)L.K.Fu et Nan Li〕4年生幼苗的7个生长指标进行了测定及方差分析,并对生长指标间以及生长指标与地理-气候因...在浙江龙泉和安吉试验点,对来源于10省(区)24个种源的南方红豆杉〔Taxus wallichiana var.mairei(Lemée et Lévl.)L.K.Fu et Nan Li〕4年生幼苗的7个生长指标进行了测定及方差分析,并对生长指标间以及生长指标与地理-气候因子间的相关性进行了分析;此外,以树高和地径为标准初步筛选出一些速生优良种源。测量结果显示:2个试验点不同种源4年生幼苗的树高、地径、当年抽梢长和侧枝数以及侧枝的最大长度及最大直径的变化幅度以及安吉试验点各种源幼苗冠幅的变化幅度均在25%以上,说明各种源间生长指标的差异较大。方差分析结果表明:龙泉试验点各种源间幼苗侧枝的最大直径以及安吉试验点各种源间幼苗的树高无显著差异,其他生长指标在种源间均有显著或极显著差异,且冠幅、当年抽梢长和侧枝的最大长度具有显著或极显著的种源-地点互作效应。相关性分析结果表明:幼苗的冠幅与地径和树高呈显著或极显著的正相关,且侧枝的最大长度与树高和冠幅也呈显著或极显著的正相关;虽然2个试验点间各种源幼苗的7个生长指标与地理-气候因子的相关性有一定差异,但总体上未表现出明显的地理变异模式。根据2个试验点幼苗树高和地径的综合表现,初步筛选出湖南靖州、江西井冈山、福建沙县、江西武宁、云南石屏和贵州梵净山6个种源为南方红豆杉的早期速生优良种源。展开更多
[Objective] The aim was to explore growth performance of Phoebe bournei in seedling stage.[Method] Based on 17 superior plus trees of Phoebe bournei,a seedling cultivation test was conducted in Jindong Forest Farm in ...[Objective] The aim was to explore growth performance of Phoebe bournei in seedling stage.[Method] Based on 17 superior plus trees of Phoebe bournei,a seedling cultivation test was conducted in Jindong Forest Farm in Yongzhou,Hunan Province,exploring growth indices and analyzing seedling height and ground diameter.[Result] As per the selection rate at 20％,PB17,PB9 and PB12 were selected from the 17 species.Specifically,the seedling height averaged 36.52 cm of the selected three seedlings,which was higher by 16.1％ compared with average of 17 species （31.45％）.As for ground diameter,the selected species averaged 2.6 mm,which was higher （13.0％） compared with the average level （2.3 mm）.[Conclusion]Both of seedling height and ground diameter reached extremely significant differences,which indicated that half-sib families of Phoebe bournei have rich variations,with selection and breeding potential.展开更多
In order to improve the adaptiveness of TV/L2-based image denoising algorithm in differ- ent signal-to-noise ratio （SNR） environments, an iterative denoising method with automatic parame- ter selection is proposed. ...In order to improve the adaptiveness of TV/L2-based image denoising algorithm in differ- ent signal-to-noise ratio （SNR） environments, an iterative denoising method with automatic parame- ter selection is proposed. Based upon the close connection between optimization function of denois- ing problem and regularization parameter, an updating model is built to select the regularized param- eter. Both the parameter and the objective function are dynamically updated in alternating minimiza- tion iterations, consequently, it can make the algorithm work in different SNR environments. Mean- while, a strategy for choosing the initial regularization parameter is presented. Considering Morozov discrepancy principle, a convex function with respect to the regularization parameter is modeled. Via the optimization method, it is easy and fast to find the convergence value of parameter, which is suitable for the iterative image denoising algorithm. Comparing with several state-of-the-art algo- rithms, many experiments confirm that the denoising algorithm with the proposed parameter selec- tion is highly effective to evaluate peak signal-to-noise ratio （PSNR） and structural similarity展开更多
This paper developed a fast and adaptive method for SAR complex image denoising based on lk norm regularization, as viewed from parameters estimation. We firstly establish the relationship between denoising model and ...This paper developed a fast and adaptive method for SAR complex image denoising based on lk norm regularization, as viewed from parameters estimation. We firstly establish the relationship between denoising model and ill-posed inverse problem via convex half-quadratic regularization, and compare the difference between the estimator variance obtained from the iterative formula and biased CramerRao bound, which proves the theoretic flaw of the existent methods of parameter selection. Then, the analytic expression of the model solution as the function with respect to the regularization parameter is obtained. On this basis, we study the method for selecting the regularization parameter through minimizing mean-square error of estimators and obtain the final analytic expression, which resulted in the direct calculation, high processing speed, and adaptability. Finally, the effect of regularization parameter selection on the resolution of point targets is analyzed. The experiment results of simulation and real complex-valued SAR images illustrate the validity of the proposed method.展开更多
文摘在浙江龙泉和安吉试验点,对来源于10省(区)24个种源的南方红豆杉〔Taxus wallichiana var.mairei(Lemée et Lévl.)L.K.Fu et Nan Li〕4年生幼苗的7个生长指标进行了测定及方差分析,并对生长指标间以及生长指标与地理-气候因子间的相关性进行了分析;此外,以树高和地径为标准初步筛选出一些速生优良种源。测量结果显示:2个试验点不同种源4年生幼苗的树高、地径、当年抽梢长和侧枝数以及侧枝的最大长度及最大直径的变化幅度以及安吉试验点各种源幼苗冠幅的变化幅度均在25%以上,说明各种源间生长指标的差异较大。方差分析结果表明:龙泉试验点各种源间幼苗侧枝的最大直径以及安吉试验点各种源间幼苗的树高无显著差异,其他生长指标在种源间均有显著或极显著差异,且冠幅、当年抽梢长和侧枝的最大长度具有显著或极显著的种源-地点互作效应。相关性分析结果表明:幼苗的冠幅与地径和树高呈显著或极显著的正相关,且侧枝的最大长度与树高和冠幅也呈显著或极显著的正相关;虽然2个试验点间各种源幼苗的7个生长指标与地理-气候因子的相关性有一定差异,但总体上未表现出明显的地理变异模式。根据2个试验点幼苗树高和地径的综合表现,初步筛选出湖南靖州、江西井冈山、福建沙县、江西武宁、云南石屏和贵州梵净山6个种源为南方红豆杉的早期速生优良种源。
基金Supported by Hunan Forestry Scientific Research(2010-07)~~
文摘[Objective] The aim was to explore growth performance of Phoebe bournei in seedling stage.[Method] Based on 17 superior plus trees of Phoebe bournei,a seedling cultivation test was conducted in Jindong Forest Farm in Yongzhou,Hunan Province,exploring growth indices and analyzing seedling height and ground diameter.[Result] As per the selection rate at 20％,PB17,PB9 and PB12 were selected from the 17 species.Specifically,the seedling height averaged 36.52 cm of the selected three seedlings,which was higher by 16.1％ compared with average of 17 species （31.45％）.As for ground diameter,the selected species averaged 2.6 mm,which was higher （13.0％） compared with the average level （2.3 mm）.[Conclusion]Both of seedling height and ground diameter reached extremely significant differences,which indicated that half-sib families of Phoebe bournei have rich variations,with selection and breeding potential.
基金Supported by the National High Technology Research and Development Program of China(863Program)(2012AA8012011C)
文摘In order to improve the adaptiveness of TV/L2-based image denoising algorithm in differ- ent signal-to-noise ratio （SNR） environments, an iterative denoising method with automatic parame- ter selection is proposed. Based upon the close connection between optimization function of denois- ing problem and regularization parameter, an updating model is built to select the regularized param- eter. Both the parameter and the objective function are dynamically updated in alternating minimiza- tion iterations, consequently, it can make the algorithm work in different SNR environments. Mean- while, a strategy for choosing the initial regularization parameter is presented. Considering Morozov discrepancy principle, a convex function with respect to the regularization parameter is modeled. Via the optimization method, it is easy and fast to find the convergence value of parameter, which is suitable for the iterative image denoising algorithm. Comparing with several state-of-the-art algo- rithms, many experiments confirm that the denoising algorithm with the proposed parameter selec- tion is highly effective to evaluate peak signal-to-noise ratio （PSNR） and structural similarity
基金Supported by the National Natural Science Foundation of China (Grant No. 60572136)the Fundamental Research Fund of NUDT (Grant No.JC0702005)
文摘This paper developed a fast and adaptive method for SAR complex image denoising based on lk norm regularization, as viewed from parameters estimation. We firstly establish the relationship between denoising model and ill-posed inverse problem via convex half-quadratic regularization, and compare the difference between the estimator variance obtained from the iterative formula and biased CramerRao bound, which proves the theoretic flaw of the existent methods of parameter selection. Then, the analytic expression of the model solution as the function with respect to the regularization parameter is obtained. On this basis, we study the method for selecting the regularization parameter through minimizing mean-square error of estimators and obtain the final analytic expression, which resulted in the direct calculation, high processing speed, and adaptability. Finally, the effect of regularization parameter selection on the resolution of point targets is analyzed. The experiment results of simulation and real complex-valued SAR images illustrate the validity of the proposed method.
